846 resultados para Controle Estatístico de Processo (CEP)


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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During the sugarcane mechanized harvester process, the wear of base cutting knives is directly correlated to the quality of the cut made by the machines, and the use of quality control tools important in monitoring this process. Thus, the present study in Ribeirão Preto region aimed to assess the knives cut baseline and damage caused to wear brass knuckles in mechanized harvesting of cane raw sugar, from the viewpoint of statistical quality control (SQC). The wear of the knives was quantified by mass loss and its dimensions, while cutting quality was assessed by cutting height and damage to stumps visually classified according to the level of damage caused. The results showed that the wear of the knives was more pronounced in certain periods of use, but still within control standards. The cutting height was not affected by the wear of the knives, keeping within the limits of desirable quality for operation. Eventually damage the stumps ranged among themselves depending on each face of the cutting knives evaluated, and the predominance of certain classes of damage in each cutting face, but always remained in statistical control.

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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In which refers to statistical process control, the analysis of univariate cases is not enough for many types of company, being necessary to resort to multivariate cases. Besides, it is usually supposed that the observations are independent. However, the violation of this hypothesis indicates the existence of autocorrelation in the process. In this work, by a basic quantitative approach for an exploratory and experimental research, the study target are the multivariate autocorrelated control charts, using Hotteling T². The ARL values were collected by simulations of a computational program on FORTRAN language, with objective of studying the charts properties, in addition to compare with the

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In which refers to statistical process control, the analysis of univariate cases is not enough for many types of company, being necessary to resort to multivariate cases. Besides, it is usually supposed that the observations are independent. However, the violation of this hypothesis indicates the existence of autocorrelation in the process. In this work, by a basic quantitative approach for an exploratory and experimental research, the study target are the multivariate autocorrelated control charts, using Hotteling T². The ARL values were collected by simulations of a computational program on FORTRAN language, with objective of studying the charts properties, in addition to compare with the

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The pig slaughter process involve different steps that can influence the microbiological quality of carcasses. At this, the understanding of the slaughter process on the microbiological aspects is necessary for the implementation and evaluation of critical control points. The microbiological control of the slaughter process should involve the evaluation of pathogens prevalence and levels of quality and hygiene indicator microorganisms. This study aimed at investigating the influence of steps slaughter process on the microbiological levels of pig carcasses, and evaluate if there is correlation between pathogens (Salmonella spp. and Listeria monocytogenes) and indicators (aerobic mesophilic counts, total coliforms, Escherichia coli and Enterobacteriaceae) microorganisms. A high Salmonella soroprevalence in pigs were founded before the slaughter (57.49 %). While the Salmonella prevalence in carcasses at the initial stage of the slaughter was 26.67 % and in the final stage 1.11 %, L. monocytogenes was detected only in the final washing and cooling steps, with a prevalence of 21.11 and 8.89 %, respectively. The aerobic mesophilic counts, Enterobacteriaceae, total coliforms and E. coli levels in initial steps of slaughter process were 4.25 ± 0.37; 1.25 ± 0.38; 1.10 ± 0.35 and 0.86 ± 0.36, respectively. At the end of slaughter process the results were lower (ranging from 0.16 at 2.70 log CFU/cm2). The step that most reduced microbiological levels was the scalding. The dehairing was a critical step that led to a significant increase of microorganisms levels in the process (p < 0.05). The evisceration not proved to be a critical step on the increase of microbial levels, differently of the final washing, which showed significant increases (p < 0.05) over the levels of aerobic counts, total coliforms, E. coli and enterobacterias (0.30; 0.36; 0.27 and 0.42 log respectively) and Salmonella spp. and L. monocytogenes. The chilling contributes significantly to the reduction of microbiological levels of carcasses, bringing them to levels below the all process stages, with the exception of scalding. No correlation between the hygiene indicator microorganisms used and presence of Salmonella spp. and L. monocytogenes were obtained (p < 0.05). The results show that steps in the process are critical to the sanitary profile, which implies the need to implement actions in the process to reducing the microbiological levels.

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A pesquisa tem como objetivo desenvolver uma estrutura de controle preditivo neural, com o intuito de controlar um processo de pH, caracterizado por ser um sistema SISO (Single Input - Single Output). O controle de pH é um processo de grande importância na indústria petroquímica, onde se deseja manter constante o nível de acidez de um produto ou neutralizar o afluente de uma planta de tratamento de fluidos. O processo de controle de pH exige robustez do sistema de controle, pois este processo pode ter ganho estático e dinâmica nãolineares. O controlador preditivo neural envolve duas outras teorias para o seu desenvolvimento, a primeira referente ao controle preditivo e a outra a redes neurais artificiais (RNA s). Este controlador pode ser dividido em dois blocos, um responsável pela identificação e outro pelo o cálculo do sinal de controle. Para realizar a identificação neural é utilizada uma RNA com arquitetura feedforward multicamadas com aprendizagem baseada na metodologia da Propagação Retroativa do Erro (Error Back Propagation). A partir de dados de entrada e saída da planta é iniciado o treinamento offline da rede. Dessa forma, os pesos sinápticos são ajustados e a rede está apta para representar o sistema com a máxima precisão possível. O modelo neural gerado é usado para predizer as saídas futuras do sistema, com isso o otimizador calcula uma série de ações de controle, através da minimização de uma função objetivo quadrática, fazendo com que a saída do processo siga um sinal de referência desejado. Foram desenvolvidos dois aplicativos, ambos na plataforma Builder C++, o primeiro realiza a identificação, via redes neurais e o segundo é responsável pelo controle do processo. As ferramentas aqui implementadas e aplicadas são genéricas, ambas permitem a aplicação da estrutura de controle a qualquer novo processo

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A participação e o controle social no processo de planejamento e gestão publica são frequentemente identificados pelos movimentos sociais como condição, requisito indispensável para a consolidação da democracia. O Estado brasileiro determina, no marco da lei, a criação de instâncias colegiadas destinados a possibilitar, em âmbito municipal, a participação e o controle social na operação do Sistema Único de Saúde - os Conselhos Municipais de Saúde. Este trabalho pretende analisar os Conselhos Municipais de Saúde integrando abordagens político-internacionais, dado o interesse central em discutir as bases do processo de descentralização nas políticas de saúde. O presente texto compõe-se de três segmentos: a) análise conceitual da participação e controle social; b) descrição do referencial metodológico e c) análise prática corrente dos Conselhos Municipais de Saúde em três localidades do Estado do Rio de Janeiro: Angra dos Reis. Resende e Bom Jesus de Itabapoana.

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Integração contínua. Localização única do código fonte. Scripts de construção automatizados. Suporte a testes unitários. Uso da integração contínua no projeto SIGI. Código fonte sob controle de versão. Processo de integração contínua. Integração do SigiCliente. Integração do SigiServidor. Execução dos testes de interface Web. Avanços e melhorias.

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This dissertation seeks to recognize the impacts that outsourcing of the call center brings to firms of electrical energy in Brazil. For this research, two existing cases in the brazilian sector electric: i) case of Cemig, firm mineira of electrical energy; ii) case Light, firm carioca of electrical energy. The framework of this dissertation is based of the methodology of multiple study cases described by Robert Yin (2003). This work analyzed separately each of the cases and compared the results obtained in each analysis. In this way, this research aimed at analyzing the impacts that firms sufering in outsource the call center, despite the citys are diferents, like the factors of the environment. The obtained results suggest that the firms adopt the mixed call center, with the greatest part of outsources employees and with less proper. The importants impacts seeks in this research are the lost of the image, quality and the control of the process of answering. The aim impacts of a outsourcing the call center find in this research are the lost of the image of the firm and the reduction of the control of the process of customer service, impacting directly on the quality of the customer service.